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Data Foundation

Stock Analytics

ERP-agnostic inventory analytics on GCP. We connect your ERP — regardless of vendor — to a standardized BigQuery data model, so one Power BI report works for every client and every system.

The Problem

Data trapped in your ERP

Your inventory data lives inside the ERP. Every report is manual, and switching systems means rebuilding your analytics from scratch.

No unified view

Multiple ERPs, locations, or entities mean painful manual consolidation just to get a single number for stock on hand.

Stale reports

By the time inventory reports reach management, the data is already hours or days old. Decisions lag behind reality.

The Solution

ERP-agnostic adapter

A Python agent extracts data from your ERP via API or direct DB connection. Works with Tango, SAP, Oracle, or any SQL-based system.

Bronze / Silver / Gold in BigQuery

Raw data lands in bronze, gets cleaned to silver, and transforms to a standardized gold model — always the same contract, regardless of source ERP.

dbt transformations

SQL-based models with testing, documentation, and lineage. Stock levels, movements, turnover, aging — all production-ready and auditable.

Power BI template

One report template that works for any client. Deploy a new customer to the platform in hours, not weeks.

How It Works

1
Your ERP
2
GCS
3
BigQuery
4
dbt
5
Power BI

Dashboard KPIs

What your team will see from day one

Inventory Position
  • Stock on hand (units & value)
  • Days of stock coverage
  • Out-of-stock % by SKU
  • Reorder alerts by item
Movements
  • Inbound / outbound by period
  • Rotation rate by SKU
  • Shrinkage & adjustments
  • Movements by warehouse / branch
Supplier Performance
  • Lead time by supplier
  • Fill rate (fulfillment %)
  • On-time receipts
  • Purchase price evolution
Executive View
  • Total inventory value
  • Dormant stock (no movement)
  • ABC analysis by value
  • Multi-branch comparison

Tech Stack

Google Cloud PlatformBigQuerydbtCloud StorageCloud RunPower BIPythonTerraform